# 读取素材中的“test.txt”文件，使用jieba库进行分词，并将出现次数前5的词汇和出现次数信息写入到“output.txt”文件中
import jieba
txt = open("test.txt", "rb").read()
f = open("output.txt", "w+")
words = jieba.lcut(txt)
counts = {}
for word in words:
    if len(word) == 1:
        continue
    else:
        counts[word] = counts.get(word, 0) + 1
items = list(counts.items())
items.sort(key=lambda x: x[1], reverse=True)
for i in range(5):
    word, count = items[i]
    print("{0:<10}{1:>5}".format(word, count), file=f)
